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A comparison of building energy optimization problems and mathematical test functions using static fitness landscape analysis
Waibel, C., Mavromatidis, G., Evins, R., & Carmeliet, J. (2019). A comparison of building energy optimization problems and mathematical test functions using static fitness landscape analysis. Journal of Building Performance Simulation, 12(6), 789-811. https://doi.org/10.1080/19401493.2019.1671897
Building energy optimization: an extensive benchmark of global search algorithms
Waibel, C., Wortmann, T., Evins, R., & Carmeliet, J. (2019). Building energy optimization: an extensive benchmark of global search algorithms. Energy and Buildings, 187, 218-240. https://doi.org/10.1016/j.enbuild.2019.01.048
Co-simulation and optimization of building geometry and multi-energy systems: interdependencies in energy supply, energy demand and solar potentials
Waibel, C., Evins, R., & Carmeliet, J. (2019). Co-simulation and optimization of building geometry and multi-energy systems: interdependencies in energy supply, energy demand and solar potentials. Applied Energy, 242, 1661-1682. https://doi.org/10.1016/j.apenergy.2019.03.177
Multi-model ecologies for shaping future energy systems: design patterns and development paths
Bollinger, L. A., Davis, C. B., Evins, R., Chappin, E. J. L., & Nikolic, I. (2018). Multi-model ecologies for shaping future energy systems: design patterns and development paths. Renewable and Sustainable Energy Reviews, 82, 3441-3451. https://doi.org/10.1016/j.rser.2017.10.047
Sensitivity analysis on optimal placement of façade based photovoltaics
Waibel, C., Mavromatidis, G., Bollinger, A., Evins, R., & Carmeliet, J. (2018). Sensitivity analysis on optimal placement of façade based photovoltaics. In J. C. Teixeira, A. C. Ferreira, Ã. Silva, & S. Teixeira (Eds.), ECOS 2018. Proceedings of the 31st international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems. Guimarães, Portugal: Universidade do Minho. Departamento de Engenharia Mecânica.
A holarchic approach for multi-scale distributed energy system optimisation
Marquant, J. F., Evins, R., Bollinger, L. A., & Carmeliet, J. (2017). A holarchic approach for multi-scale distributed energy system optimisation. Applied Energy, 208, 935-953. https://doi.org/10.1016/j.apenergy.2017.09.057
Comparison of individual and microgrid approaches for a distributed multi energy system with different renewable shares in the grid electricity supply
Morvaj, B., Evins, R., & Carmeliet, J. (2017). Comparison of individual and microgrid approaches for a distributed multi energy system with different renewable shares in the grid electricity supply. In J. L. Scartezzini (Ed.), Energy procedia: Vol. 122. CISBAT 2017 international conference. Future buildings & districts - energy efficiency from nano to urban scale (pp. 349-354). https://doi.org/10.1016/j.egypro.2017.07.336
Decarbonizing the electricity grid: the impact on urban energy systems, distribution grids and district heating potential
Morvaj, B., Evins, R., & Carmeliet, J. (2017). Decarbonizing the electricity grid: the impact on urban energy systems, distribution grids and district heating potential. Applied Energy, 191, 125-140. https://doi.org/10.1016/j.apenergy.2017.01.058
Efficient time-resolved 3D solar potential modelling
Waibel, C., Evins, R., & Carmeliet, J. (2017). Efficient time-resolved 3D solar potential modelling. Solar Energy, 158, 960-976. https://doi.org/10.1016/j.solener.2017.10.054
Multi-agent reinforcement learning for optimizing technology deployment in distributed multi-energy systems
Bollinger, L. A., & Evins, R. (2016). Multi-agent reinforcement learning for optimizing technology deployment in distributed multi-energy systems. In G. Ślusarczyk, B. Strug, & P. J. C. J. de Wielde (Eds.), Proceedings of the 23rd international workshop on intelligent computing in engineering (p. (12 pp.). European Group for Intelligent Computing in Engineering (EG-ICE).
A bi-level design and operation optimization process applied to an energy centre
Evins, R. (2016). A bi-level design and operation optimization process applied to an energy centre. Journal of Building Performance Simulation, 9(3), 255-271. https://doi.org/10.1080/19401493.2015.1045034
Variability between domestic buildings: the impact on energy use
Evins, R., Orehounig, K., & Dorer, V. (2016). Variability between domestic buildings: the impact on energy use. Journal of Building Performance Simulation, 9(2), 162-175. https://doi.org/10.1080/19401493.2015.1006526
Impact of electrical storage and grid upgrade on the optimal design and operation of a microgrid
Morvaj, B., Evins, R., & Carmeliet, J. (2016). Impact of electrical storage and grid upgrade on the optimal design and operation of a microgrid. In 2016 IEEE power & energy society general meeting (PESGM) (p. 7741102 (5 pp.). https://doi.org/10.1109/PESGM.2016.7741102
Integrating multi-domain distributed energy systems with electric vehicle PQ flexibility: optimal design and operation scheduling for sustainable low-voltage distribution grids
Morvaj, B., Knezović, K., Evins, R., & Marinelli, M. (2016). Integrating multi-domain distributed energy systems with electric vehicle PQ flexibility: optimal design and operation scheduling for sustainable low-voltage distribution grids. Sustainable Energy, Grids and Networks, 8, 51-61. https://doi.org/10.1016/j.segan.2016.10.001
Optimising urban energy systems: simultaneous system sizing, operation and district heating network layout
Morvaj, B., Evins, R., & Carmeliet, J. (2016). Optimising urban energy systems: simultaneous system sizing, operation and district heating network layout. Energy, 116(Part 1), 619-636. https://doi.org/10.1016/j.energy.2016.09.139
Optimization framework for distributed energy systems with integrated electrical grid constraints
Morvaj, B., Evins, R., & Carmeliet, J. (2016). Optimization framework for distributed energy systems with integrated electrical grid constraints. Applied Energy, 171, 296-313. https://doi.org/10.1016/j.apenergy.2016.03.090
Holistic optimization of urban morphology and district energy system
Waibel, C., Evins, R., & Carmeliet, J. (2016). Holistic optimization of urban morphology and district energy system. In G. Habert & A. Schlueter (Eds.), Expanding boundaries. Systems thinking in the built environment (pp. 70-76). https://doi.org/10.3218/3774-6_12
A review of modelling approaches and tools for the simulation of district-scale energy systems
Allegrini, J., Orehounig, K., Mavromatidis, G., Ruesch, F., Dorer, V., & Evins, R. (2015). A review of modelling approaches and tools for the simulation of district-scale energy systems. Renewable and Sustainable Energy Reviews, 52, 1391-1404. https://doi.org/10.1016/j.rser.2015.07.123
Facilitating model reuse and integration in an urban energy simulation platform
Bollinger, L. A., & Evins, R. (2015). Facilitating model reuse and integration in an urban energy simulation platform. In S. Koziel, L. Leifsson, M. Lees, V. V. Krzhizhanovskaya, J. Dongarra, & P. M. A. Sloot (Eds.), Procedia computer science: Vol. 51. International conference on computational science, ICCS 2015. Computational science at the gates of nature (pp. 2127-2136). https://doi.org/10.1016/j.procs.2015.05.484
HUES: a Holistic Urban Energy Simulation platform for effective model integration
Bollinger, L. A., & Evins, R. (2015). HUES: a Holistic Urban Energy Simulation platform for effective model integration. In Solar energy and building physics laboratory (LESO-PB) & Ecole Polytechnique Fédérale de Lausanne (EPFL) (Eds.), Vol. II. Proceedings of CISBAT 2015 (pp. 841-846). https://doi.org/10.5075/epfl-cisbat2015-841-846